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Distributional clustering of words for text classification
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Source Annual ACM Conference on Research and Development in Information Retrieval archive
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval table of contents
Melbourne, Australia
Pages: 96 - 103  
Year of Publication: 1998
ISBN:1-58113-015-5
Authors
L. Douglas Baker  School of Computer Science, Carnegie Mellon University, Pittsburgh, PA and Just Research 4616 Henry Street, Pittsburgh, PA
Andrew Kachites McCallum  Just Research 4616 Henry Street, Pittsburgh, PA and School of Computer Science, Carnegie Mellon University, Pittsburgh, PA
Sponsors
University of Melbourne : University of Melbourne
SIGIR: ACM Special Interest Group on Information Retrieval
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 27,   Downloads (12 Months): 300,   Citation Count: 96
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REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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S. C. Deerwester, S. T. Dumais, T. K. Landaner, G. W. Furnas, and R. A. Harshman. Indexing by latent semantic analysis. Journal of the American Society for Information Science, 41(6):391-407, 1990.
 
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Susan T. Dumais. Using LSI for information filtering: TREC-3 experiments. Technical Report 500- 225, National Institute of Standards and Technology, 1995.
 
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j. D. Jobson. Applied Multivariate Data Analysis - Volume iI: Categorical and Multivariate Methods. Springer Verlag, 1992.
 
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R. Kerber. Chimerge: Discretization of numeric attributes. In Proceedings of Tenth National Conference on Artificial Intelligence (AAAI-9e), 1992.
 
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D. Koller and M. Sahami. Toward optimal feature selection. In Proceedings of Thirteenth International Conference on Machine Learning (ICML-96), 1996.
 
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Ken Lang. Newsweeder: Learning to filter netnews. In International Conference on Machine Learning (ICML), pages 331-339, 1995.
 
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David Lewis and Marc Ringuette. A comparison of two learning algorithms for text categorization. In Third Annual Symposium on Document Analysis and Information Retrieval, pages 81-93, 1994.
 
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Andrew McCallum and Kamal Nigam. A comparison of event models for naive Bayes text classification. In AAAI-98 Workshop on Learning for Text Categorization, 1998. http://www, cs.cmu.edu/-#mccallum.
 
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WiseWire. http://www.wisewire.com.
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CITED BY  96

Collaborative Colleagues:
L. Douglas Baker: colleagues
Andrew Kachites McCallum: colleagues